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A tribute to Copy and the Copycat Community - by and for the Crew

An unofficial fan project by drw for the Copycat community

Mejn Wappen

AI Plant Diagnosis

This feature is still under development!

This is just a fully functional beta that delivers results based on limited data!

To really implement this, an image recognition AI model like TensorFlow.js or Google Cloud Vision API or other specialized plant recognition models would be necessary. Connecting these would cost money and I will only implement it if you want it.

Identify nutrient deficiencies, diseases, and pests using artificial intelligence

AI Plant Diagnosis
Identify nutrient deficiencies, diseases, and pests using artificial intelligence

Note: Images are not stored on any server and are only processed locally in your browser.

Select Image

JPG, PNG oder WEBP, max. 10MB

Would you like a real AI implementation for plant diagnosis?

How Does the AI Plant Diagnosis Work?

The AI Plant Diagnosis tool uses computer vision and machine learning to identify plant problems.

1Step 1: Image Analysis

When you upload or take a photo, our AI analyzes the visual patterns, colors, and textures in the image.

2Step 2: Pattern Recognition

The AI compares these patterns to thousands of examples it has learned from, identifying similarities to known issues.

3Step 3: Diagnosis Generation

Based on the analysis, the system provides a diagnosis with confidence level, symptoms, and treatment recommendations.

Limitations

While our AI is powerful, it's not perfect. Environmental factors, image quality, and uncommon issues can affect accuracy. Always use the diagnosis as a starting point and consult experienced growers for confirmation.

Privacy

Your images are processed entirely in your browser and are never stored on our servers. Your plant photos remain private to you.

Would you like a real AI implementation for plant diagnosis?

How AI Diagnosis Works

Our AI diagnosis uses a specially trained deep learning model that has been trained on thousands of images of cannabis plants with various problems. The model can recognize a variety of nutrient deficiencies, diseases, and pest infestations.

For best results:

  • Take photos in good lighting
  • Photograph both the entire plant and close-ups of affected areas
  • Keep the camera steady for sharp images
  • Show different leaves (new and older), as symptoms may vary by age

Note: This feature is in beta and is continuously being improved. The diagnosis should be considered as guidance and does not replace advice from experienced growers.